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Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye.

This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary least squares (OLS) and geographically weighted regression (GWR) were performe...

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Published in:International Journal of Environmental Health Research Vol. 34; no. 3; pp. 1847 - 1860
Main Authors: Yılmaz, Hacı Ömer, Günen, Mehmet Akif
Format: equations & formulas pictorial research tables/charts Journal Article
Published: Taylor & Francis Ltd Mar2024
Online Access:View this record in EBSCOhost
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        09603123
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      jtl: International Journal of Environmental Health Research
      issn: 09603123
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      dt: Mar2024
      vid: 34
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/09603123.2023.2248016
        175749866
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        atl: Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye.
      aug:
        au:
          Yılmaz, Hacı Ömer
          Günen, Mehmet Akif
        affil: Faculty of Health Sciences, Department of Nutrition and Dietetics, Gümüşhane University, Gümüşhane, Türkiye
      sug:
        subj:
          Obesity Risk Factors
          Geographic Factors
          Risk Assessment
          Air Pollution Adverse Effects
          Obesity Epidemiology
          Human
          Turkiye
          Prevalence
          Maps
          Cross Sectional Studies
          Regression
          Descriptive Statistics
      ab: This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary least squares (OLS) and geographically weighted regression (GWR) were performed to evaluate the spatial variation in the relationship between all geographic factors and obesity prevalence. In the model, a positive relationship was found between obesity prevalence and slope, whereas a negative significant relationship was determined between obesity prevalence and elevation (p < 0.05). These results, revealing spatially varying associations, were very useful in refining the interpretations of the statistical results on adult obesity. This research suggests that geographical factors should be considered as one of the components of the obesogenic environment. In addition, it is recommended that national and international strategies to overcome obesity should be restructured by taking into account the geographical characteristics of the region.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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